Government agencies are adopting a variety of web-based strategies to improve information systems, increase civic engagement, and enhance decision-making capabilities and planning processes. Within the U.S., a university research team designed a municipal web tool called the Austin Historical Survey Wiki to fill a pragmatic need for information about historic resources to be used for long range planning and development review purposes. The authors situate this web experiment in relation to an array of models for government interaction with citizens via data collection efforts and the application of GIS and web-based technologies. This experiment offers local government agencies and practitioners a replicable model for tracking official data and citizen contributions to a GIS. In addition, this research offers insights into potential barriers to and requirements for collaboration between government agencies and citizens online.
Integral to some conceptualizations of the “smart city” is the adoption of web-based technology to support civic engagement and improve information systems for local government decision support. Yet there is little to no literature on the “smartness” of gathering information about historic places within municipal information systems. This chapter provides three case studies of technologically augmented planning processes that incorporated citizens as sensors of data about historic places. The first case study is of SurveyLA, a massive effort of the city of Los Angeles to comprehensively survey over 880,000 parcels for historic resources. A second case study involves Motor City Mapping, an effort to identify the condition of buildings in Detroit, Michigan and a parallel historical survey conducted by volunteers. In Austin, Texas, a university-based research team designed a municipal web tool called the Austin Historical Survey Wiki. This chapter offers insights into these prior efforts to augment planning processes with “digitized memory,” web-based technology, and public engagement.
Government agencies are adopting a variety of web-based strategies to improve information systems, increase civic engagement, and enhance decision-making capabilities and planning processes. Within the U.S., a university research team designed a municipal web tool called the Austin Historical Survey Wiki to fill a pragmatic need for information about historic resources to be used for long range planning and development review purposes. The authors situate this web experiment in relation to an array of models for government interaction with citizens via data collection efforts and the application of GIS and web-based technologies. This experiment offers local government agencies and practitioners a replicable model for tracking official data and citizen contributions to a GIS. In addition, this research offers insights into potential barriers to and requirements for collaboration between government agencies and citizens online.
Integral to some conceptualizations of the “smart city” is the adoption of web-based technology to support civic engagement and improve information systems for local government decision support. Yet there is little to no literature on the “smartness” of gathering information about historic places within municipal information systems. This chapter provides three case studies of technologically augmented planning processes that incorporated citizens as sensors of data about historic places. The first case study is of SurveyLA, a massive effort of the city of Los Angeles to comprehensively survey over 880,000 parcels for historic resources. A second case study involves Motor City Mapping, an effort to identify the condition of buildings in Detroit, Michigan and a parallel historical survey conducted by volunteers. In Austin, Texas, a university-based research team designed a municipal web tool called the Austin Historical Survey Wiki. This chapter offers insights into these prior efforts to augment planning processes with “digitized memory,” web-based technology, and public engagement.
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